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Ayatulahi Dapo-Wahab

Ayatulahi Dapo-Wahab

AI Data Annotator – Human Code Preference Feedback (Alignerr)

NIGERIA flag
Lagos, Nigeria
$20.00/hrExpertData Annotation TechCVATCrowdsource

Key Skills

Software

Data Annotation TechData Annotation Tech
CVATCVAT
CrowdSourceCrowdSource
ClickworkerClickworker
AWS SageMakerAWS SageMaker
Label StudioLabel Studio

Top Subject Matter

Programming/Software Development
Speech Recognition/Voice AI
Computer Vision/Multimedia

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Audio Recording
Classification
Segmentation
Bounding Box
Text Generation
Object Detection
Text Summarization
Fine Tuning
Red Teaming
Transcription
Evaluation Rating
Computer Programming Coding
Data Collection

Freelancer Overview

AI Data Annotator – Human Code Preference Feedback (Alignerr). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Lagos (2024). AI-training focus includes data types such as Computer Code, Programming, and Audio and labeling workflows including Evaluation, Rating, and Audio Recording.

ExpertEnglish

Labeling Experience

English Voice Actor – Silencio AI

AudioAudio Recording
Recorded high-quality English voice samples for AI training purposes. Supported the generation of diverse datasets to improve speech recognition and audio-based AI models. Ensured consistency and clarity in all audio contributions. • Provided varied voice recordings for model training. • Enhanced dataset quality and diversity for better AI performance. • Adhered to precise recording specifications and guidelines. • Increased effectiveness of speech recognition technologies.

Recorded high-quality English voice samples for AI training purposes. Supported the generation of diverse datasets to improve speech recognition and audio-based AI models. Ensured consistency and clarity in all audio contributions. • Provided varied voice recordings for model training. • Enhanced dataset quality and diversity for better AI performance. • Adhered to precise recording specifications and guidelines. • Increased effectiveness of speech recognition technologies.

2025 - Present

AI Data Annotator – Human Code Preference Feedback (Alignerr)

Reviewed AI-generated Python code responses to ensure correctness and clarity. Provided structured feedback and applied annotation guidelines to assess outputs across programming-related tasks. Improved code quality and model reliability by identifying errors and refining outputs. • Evaluated 15+ AI-generated code responses weekly. • Maintained a high task success rate and quality benchmarks. • Identified logical errors and structural issues in code. • Contributed to the enhancement of AI systems for developer tasks.

Reviewed AI-generated Python code responses to ensure correctness and clarity. Provided structured feedback and applied annotation guidelines to assess outputs across programming-related tasks. Improved code quality and model reliability by identifying errors and refining outputs. • Evaluated 15+ AI-generated code responses weekly. • Maintained a high task success rate and quality benchmarks. • Identified logical errors and structural issues in code. • Contributed to the enhancement of AI systems for developer tasks.

2025 - Present

Image & Video Annotator – Alignerr

ImageClassification
Annotated image and video datasets to support AI model training and accuracy improvements. Applied detailed labeling and review processes in accordance with strict project guidelines. Delivered consistent and accurate multimedia annotations for advanced computer vision models. • Completed over 20 tasks weekly with a high success rate. • Labeled and reviewed images and video following quality standards. • Enhanced accuracy of computer vision systems by supplying reliable data. • Collaborated on large-scale annotation projects in multimedia domains.

Annotated image and video datasets to support AI model training and accuracy improvements. Applied detailed labeling and review processes in accordance with strict project guidelines. Delivered consistent and accurate multimedia annotations for advanced computer vision models. • Completed over 20 tasks weekly with a high success rate. • Labeled and reviewed images and video following quality standards. • Enhanced accuracy of computer vision systems by supplying reliable data. • Collaborated on large-scale annotation projects in multimedia domains.

2024 - Present

English Voice Actor – Neon Mobile

AudioAudio Recording
Supplied English voice recordings for inclusion in AI training datasets. Assisted in developing voice-enabled AI systems by providing high-quality, structured audio samples. Contributed to advancements in speech and voice recognition technology. • Delivered accurate and clear audio submissions per requirements. • Supported AI dataset building for voice applications. • Followed annotation and recording standards throughout the process. • Enhanced overall performance of voice-based AI models.

Supplied English voice recordings for inclusion in AI training datasets. Assisted in developing voice-enabled AI systems by providing high-quality, structured audio samples. Contributed to advancements in speech and voice recognition technology. • Delivered accurate and clear audio submissions per requirements. • Supported AI dataset building for voice applications. • Followed annotation and recording standards throughout the process. • Enhanced overall performance of voice-based AI models.

2025 - 2025

Education

U

University of Lagos

Bachelor of Science, Computer Science

Bachelor of Science
2024

Work History

S

Silencio AI

English Voice Actor

Location not specified
2025 - Present
A

Alignerr

Human Code Preference Feedback (Python)

Location not specified
2025 - Present